What this is
- Voltage-gated potassium channels, specifically the K1 channel Shaker in Drosophila, interact with β-subunits that have aldo-keto reductase activity, crucial for sleep regulation.
- This research explores how the oxidation state of the β-subunit, Hyperkinetic, serves as a memory of , influencing sleep pressure.
- The findings indicate that sleep protects neuronal membranes from oxidative damage and that products can promote sleep.
Essence
- Hyperkinetic, a β-subunit of the K1 channel, forms a memory that influences sleep regulation. This memory is erased by neuronal activity, suggesting a protective role of sleep against oxidative damage.
Key takeaways
- Hyperkinetic's interaction with Shaker channels encodes the history of , affecting neuronal excitability and sleep pressure.
- Sleep deprivation leads to significant changes in lipid profiles, with 51 out of 380 identified glycerophospholipids showing more than twofold changes after sleep loss.
- The study identifies a mechanism where products influence sleep, highlighting the importance of oxidative stress in sleep regulation.
Caveats
- The study suggests but does not definitively prove that sleep loss causes , requiring further validation of the mechanisms involved.
- While the findings are compelling, definitive proof of the role of products as endogenous substrates for Kβ requires complex co-purification experiments.
Definitions
- lipid peroxidation: A process where free radicals attack lipids, leading to cell membrane damage and the formation of reactive carbonyls.
Simplified
Main
The pore-forming α-subunits of voltage-gated potassium channels of the KV1 and KV4 families partner with non-membrane-integral β-subunits1–5 whose sequences exhibit puzzling similarity with aldo-keto reductases6,7—enzymes that reduce carbonyls to alcohols via the coupled oxidation of an NADPH cofactor. The isolated β-subunits show weak reductase activity towards a range of model aldehydes in vitro18,19, relying on NADPH as the electron donor, but whether, on which native carbonyls, and to what end the assembled KV channel catalyses similar reactions in vivo is unknown. The exceptionally firm grip of KVβ on its cofactor8, which chokes catalysis, deepens the mystery of why an ion channel would be shackled to what appears to be a subpar enzyme.
A hint at a possible answer has come from studies in Drosophila, where both the KV1 channel Shaker20,21 and its β-subunit Hyperkinetic7 are needed to sustain normal levels of sleep22,23. The sleep-regulatory function of the channel complex has been mapped to a small number of sleep-control neurons whose axonal projections target the dorsal fan-shaped body in the central brain15,17,24 (dFBNs). Sleep need is encoded in the electrical activity of these neurons16, which fluctuates—in part24—because Hyperkinetic modulates the inactivation kinetics of the Shaker current9. During waking, electrons leaking from the saturated transport chains of the inner mitochondrial membrane produce superoxide and other reactive oxygen species (ROS), which convert the KVβ pool to the NADP+-bound form9,25. This prolongs the inactivation time constant of the associated potassium conductance9,18,26,27, strengthens the repolarizing force that restores the resting membrane potential after each spike, and so enables dFBNs to fire at higher rates9,28.
Although the source (the mitochondrial electron transport chain) and the receiver (Hyperkinetic in complex with Shaker) of the sleep-promoting redox signal are known9,25, the mode of communication between mitochondria and potassium channels remains undefined. KVβ-bound NADPH is an unlikely direct target of ROS, not only because radical-induced hydrogen abstraction (which involves a single electron transfer) will not produce NADP+ (which would require the loss of two electrons). As ROS spread from the inner mitochondrial membrane, they encounter many potential reaction partners before reaching Hyperkinetic at the cell surface. Among the most abundant and vulnerable ROS targets in the immediate vicinity of their site of origin are the polyunsaturated fatty acyl chains (PUFAs) of membrane lipids, whose peroxidation and subsequent fragmentation into carbonyls10–13 can create chemical functionality fit for the active site of an aldo-keto reductase. In the crystal structure of the mammalian KV1.2–β2 channel complex, the substrate binding pocket is lined with hydrophobic residues and filled with unresolved electron density4, as would be expected if a diverse group of lipid precursors disintegrated into a heterogeneous mix of apolar ligands. Recombinant KVβ1 and KVβ2 reduce synthetic analogues of lipid peroxidation products, such as 4-oxo-2-nonenal (4-ONE), 1-palmitoyl-2-oxovaleroyl-phosphatidylcholine or methylglyoxal, in vitro18,19, but turnover is so slow that the effect on the concentrations of these molecules in vivo must be minimal. While KVβ can therefore have no plausible role in the enzymatic clearance of toxic carbonyls, the very features that seem detrimental or baroque in a catalyst—the protein’s stranglehold on NADP(H) and its linkage to a voltage-gated ion channel—could be essential if the assembly instead functioned as a biochemical memory cell (Fig. 1). Imagine that tight binding of NADP(H) causes the redox reaction to pause at the cofactor-exchange step. Each β-subunit then records a single exposure to an oxidizing substrate by flipping from the NADPH-bound to the NADP+-bound form and stores this bit of information until NADP+ is released and replaced by NADPH (Fig. 1a). The operational logic resembles that of a single-transistor dynamic random-access memory (DRAM) cell29 (Fig. 1b): KVβ corresponds to the storage capacitor of a DRAM cell; the oxidation state of NADP(H) plays the part of the electric charge on the capacitor; and the (low) basal reaction rate is equivalent to the leakage of charge from the capacitor, which gives the memory a finite lifetime that requires periodic refreshment29. The analogy would be complete if, akin to the voltage across the transistor that gates access to the storage capacitor in a DRAM chip29, the membrane potential across the voltage sensors of the α-subunit controlled the rate of cofactor exchange by the β-subunit (Fig. 1).
Here we test several tenets of this model. We examine the lipids of rested and sleep-deprived brains for signs of oxidative damage; measure the effect on sleep of perturbing the clearance of peroxidized lipids; determine whether lipid peroxidation products influence the Shaker current of sleep-control neurons via the active site of Hyperkinetic; and analyse the interplay of voltage sensors and NADP(H) binding sites in the redox regulation of the channel. The results define an autoregulatory loop in which the KV1 channel population encodes the recent lipid peroxidation history of a neuron in the collective binary states of their β-subunits. This biochemical memory (which we equate to the accumulated sleep pressure) is read and erased during subsequent electrical activity, with the action potential frequency set by the fraction of KVβ subunits previously loaded with NADP+.
Information storage by Kβ. V , The bits 0 (left) and 1 (centre) are stored in the cofactor oxidation state of the Kβ subunit. The memory is read out when the membrane potential across Kα depolarizes and Kβ discharges NADP(right)., The bits 0 (left) and 1 (centre) are stored in the electrical charge on the capacitor of a DRAM cell. The memory is read out when the voltage across the access transistor gate goes high and the capacitor discharges (right). a b V V V +
A lipidomic fingerprint of sleep loss
Because levels of oxidative stress may differ among tissues, brain regions or neuron types9,30, we collected spatial maps of hundreds of lipids by means of high-resolution scanning microprobe matrix-assisted laser desorption/ionization mass spectrometry imaging (SMALDI-MSI). The lipid maps were acquired by scanning 10-µm-thick cryosections of rested or sleep-deprived brains at a lateral resolution of 5 µm × 5 µm and overlaid on fluorescence images of dFBNs expressing R23E10-GAL4-driven16 mCD8::GFP (Fig. 2a).
Samples within each group had tightly correlated lipid profiles, but differences between groups—that is, between the rested and sleep-deprived states—were so stark that sleep histories could be accurately inferred from lipid composition alone; a single principal component captured 85% of the overall variance. Fifty-one out of 380 SMALDI-MSI signals annotated as glycerophospholipids and detected exclusively on tissue increased or decreased more than twofold after sleep loss, with a false discovery rate (FDR)-adjusted significance threshold of P < 0.05 and little, if any, spatial heterogeneity across the brain (Fig. 2a–c). The identities of 18 of these 51 differentially abundant phospholipids (35%) were confirmed by targeted MS2 fragmentation after HPLC separation of a methyl tert-butyl ether extract of brain homogenates (Fig. 2a–c). In many cases these analyses also revealed the detailed fatty acid compositions of the parent species (Fig. 2b,c).
Most lipids with high discriminatory power belonged to one of three classes, which form discernible blocks in the clustergram of Fig. 2b. The glycerophospholipids of rested brains carried inositol, serine, ethanolamine or choline head groups and were enriched in acyl chains with a combined median length of 37.5 carbons and a large degree of unsaturation; the number of double bonds averaged 5.0 ± 2.61 (mean ± s.d.) per lipid, with a median of 5 and a maximum of 12 (Fig. 2b–d). Phospholipids that were present at higher levels in sleep-deprived brains, by contrast, contained mostly choline and ethanolamine head groups, shorter acyl chains with a combined median length of 33.5 carbons, and many fewer double bonds than those in rested flies; the number of double bonds averaged 2.0 ± 2.03 (mean ± s.d.) per lipid, with a median of 2 (Fig. 2b–d). The third distinctive lipid class consisted of several species of phosphatidic acid, whose levels declined after sleep deprivation (Fig. 2b–d). Phosphatidic acid occupies a central position in the biosynthetic pathways of all glycerophospholipids31,32 and promotes mitochondrial fusion when generated locally by a dedicated phospholipase D (mitoPLD)33. Impaired mitoPLD activity in dFBNs causes sleep loss25.
The lipidomic fingerprint of sleep-deprived brains indicates that their membranes are depleted of PUFAs, presumably as a consequence of oxidative damage, leaving behind a greater proportion of largely saturated phospholipids (Fig. 2d). The picture during rest is consistent with membrane repair via glycerophospholipid biosynthesis from phosphatidic acid precursors31,32 and a reversal of the mitochondrial fragmentation that commonly accompanies periods of oxidative stress34, including sleep deprivation25.
Sleep deprivation depletes brain phospholipids of polyunsaturated fatty acids. , Example fluorescence (top) and positive-ion SMALDI-MS images (bottom) of cryosections containing dFBNs marked with mCD8::GFP. The sections were cut from rested (left) or sleep-deprived brains (right). SMALDI-MS images show, from top to bottom, the spatial distributions of phosphatidylinositol 18:2/20:2 (/887.5612, [M+Na]), phosphatidylserine 18:3/20:5 (/826.4618, [M+Na]), phosphatidylcholine 18:0/18:1 (/788.6140, [M + H]), phosphatidylcholine 18:3/18:3 (/778.5345, [M + H]), phosphatidylethanolamine 18:1/18:1 (/744.5536, [M + H]) and phosphatidic acid 18:2/20:3 (/723.4932, [M + H]). Scale bar, 200 μm., Hierarchical clustering of rested and sleep-deprived brains according to their glycerophospholipid profiles. Heat maps show the-scored intensities of/signals differing with sleep history at an FDR-adjusted< 0.05 (two-sided-test). Lipids detected in MSfragmentation experiments are annotated in green in the list of molecular assignments on the left. Each column represents a different cryosection (= 9 per condition); sections of the same brain (= 3 per condition) are grouped by grey bars on top., Volcano plot of sleep history-dependent changes in 380/signals annotated as glycerophospholipids. Signals with more than twofold intensity changes and FDR-corrected< 0.05 (two-sided-test) are indicated in black. Numerical labels reference data points to lipid annotations in., Features overrepresented in the subset of 51 differentially abundant lipids against the background set of all 380 glycerophospholipids. Asterisks indicate significant enrichment scores (FDR-corrected< 0.05, Fisher’s exact test). Because phosphatidylcholine and phosphatidylethanolamine lipids cannot be distinguished by exact mass alone, they are grouped as a single feature. LPC, lysophosphatidylcholine; LPE, lysophosphatidylethanolamine; LPI, lysophosphatidylinositol; PA, phosphatidic acid; PC, phosphatidylcholine; PE, phosphatidylethanolamine; PG, phosphatidylglycerol; PI, phosphatidylinositol; PS, phosphatidylserine; O-, alkyl ether linkage. a b c b d m z m z m z m z m z m z z m z P t n n m z P t P + + + + + + 2 Source Data
Lipid-derived carbonyls promote sleep
The peroxidation of membrane lipids begins11,12 with the abstraction of a bis-allylic hydrogen from a PUFA chain by a radical oxidant such as HOO• (the conjugate acid of O2−) or •OH. The resulting lipid radical reacts with O2 to form a lipid peroxyl radical, which propagates the chain by abstracting a hydrogen from another PUFA, generating a new lipid radical and a lipid hydroperoxide10–13. The reaction continues until two radicals combine in a termination step. The lipid hydroperoxides produced along the way undergo a series of rearrangements and scissions that give rise to a variety of short- and medium-chain carbonyl breakdown products10–13, including the potential KVβ substrate18,19 4-ONE.
Operating behind a primary bastion of enzymatic and non-enzymatic antioxidants35, soluble short-chain dehydrogenases/reductases, such as carbonyl reductase 1 in mammals36,37 and its functional homologue sniffer in Drosophila38,39, form a second defensive ring against lipid peroxidation-derived carbonyls. We examined whether breaching and mending these secondary defences would recapitulate the well-documented effects on sleep of pro- and antioxidant manipulations9,30,40. Indeed, hemizygous male carriers of the X-linked hypomorphic sniffer allele sni1 showed increased sleep durations during the day and night (Fig. 3a–c and Extended Data Fig. 1a), owing to vastly extended, hyperconsolidated sleep episodes (Extended Data Fig. 1b,c), at an age before widespread neurodegeneration38 produced locomotor deficits that could have been mistaken for sleep (Extended Data Fig. 1d). Sleep returned to or below wild-type levels when sni1 mutants expressed a UAS-sni rescue transgene38 (Fig. 3c and Extended Data Fig. 1a), and similarly when the alternative oxidase AOX, which shunts surplus electrons from ubiquinone to H2O, capped mitochondrial ROS production9,41 (Fig. 3a,c), or when the putative carbonyl sensor Hyperkinetic was removed by RNA-mediated interference (RNAi), either pan-neuronally or in dFBNs of sni1 mutant flies (Fig. 3b,c). These data place lipid peroxidation products downstream of mitochondrial respiration in the signalling chain that terminates on the Hyperkinetic pool of dFBNs to raise the pressure to sleep9.
Lipid peroxidation products are intermediates in the signalling chain that couples mitochondrial electron transport to sleep. , Theor-driven expression of AOX in hemizygousmutant males fully or partially restores wild-type sleep (two-way repeated-measures ANOVA with Holm–Šídák test; sample sizes in). The sleep profiles ofmutants with pan-neuronal expression of AOX differ from those ofmutants (< 0.0001) but not of wild-type flies (= 0.0589), whereas the sleep profiles ofmutants with dFBN expression of AOX differ from those of bothmutants (< 0.0001) and wild-type flies (= 0.0007).,or-restricted interference with the expression of Hyperkinetic in hemizygousmutant males partially or fully restores wild-type sleep (two-way repeated-measures ANOVA with Holm–Šídák test; sample sizes in). The sleep profiles ofmutants with pan-neuronal expression ofdiffer from those of bothmutants (< 0.0001) and wild-type flies (< 0.0001), whereas the sleep profiles ofmutants with dFBN expression ofdiffer from those ofmutants (< 0.0001) but not of wild-type flies (= 0.1344)., Sleep in hemizygous males carrying theallele differs from wild-type (< 0.0001; Kruskal–Wallis ANOVA with Dunn’s test) but returns to or below control level if carriers also express sniffer (sni), AOX orpan-neuronally under the control of(sni:= 0.1128; AOX:> 0.9999;:= 0.0601) or in dFBNs under the control of(sni:= 0.1151; AOX:= 0.6694;:> 0.9999). Note that the expression of thetransgene appears leaky, as the sleep phenotype ofmutants is rescued in the absence of adriver (> 0.9999). Data are mean ± s.e.m.;, number of flies; asterisks indicate significant differences (< 0.05) from wild type in planned pairwise comparisons. For statistical details see Supplementary Table. a c b c c nSyb-GAL4- R23E10-GAL4 sni sni sni P P sni sni P P nSyb-GAL4- R23E10-GAL4 sni sni Hk sni P P sni Hk sni P P sni P Hk nSyb-GAL4 P P Hk P R23E10-GAL4 P P Hk P UAS-sni sni GAL4 P n P 1 1 1 1 1 1 1 RNAi 1 1 RNAi 1 1 RNAi RNAi RNAi 1 1 Source Data
Sleep architecture and waking locomotor activity ofmutants. sni 1 , Theor-driven overexpression of sniffer (over)corrects the altered sleep profile of hemizygousmutant males (< 0.0001 for all pairwise comparisons, two-way repeated-measures ANOVA with Holm-Šídák test; sample sizes in)., The average sleep bout duration in hemizygousmutant males differs from wild-type (< 0.0001; Kruskal-Wallis ANOVA with Dunn’s test) but returns to control level if carriers also express sniffer or AOX pan-neuronally under the control of(sni:> 0.9999; AOX:> 0.9999) or sniffer, AOX, orin dFBNs under the control of(sni:> 0.9999; AOX:= 0.1462;:> 0.9999). The average sleep bout durations of 6mutants exceeding 360 min are plotted at the top of the graph; mean and s.e.m. are based on the actual values., The number of sleep bouts in hemizygousmutant males differs from wild-type (< 0.0001; Kruskal-Wallis ANOVA with Dunn’s test) but returns to control level if carriers also express sniffer or AOX pan-neuronally under the control of(sni:> 0.9999; AOX:> 0.9999) or sniffer, AOX, orin dFBNs under the control of(sni:> 0.9999; AOX:= 0.1492;:> 0.9999)., Hemizygousmutant males show elevated waking locomotor activity relative to wild-type (< 0.0001; Kruskal-Wallis ANOVA with Dunn’s test). Data are means ± s.e.m.;, number of flies; asterisks, significant differences (< 0.05) from wild-type in planned pairwise comparisons. For statistical details see Supplementary Table. a b b c d nSyb-GAL4- R23E10-GAL4 sni P sni P nSyb-GAL4 P P Hk R23E10-GAL4 P P Hk P sni sni P nSyb-GAL4 P P Hk R23E10-GAL4 P P Hk P sni P n P 1 1 RNAi RNAi 1 1 RNAi RNAi 1 2 Source Data
A redox memory of lipid peroxidation
To determine whether lipid peroxidation-derived carbonyls could alter the oxidation state of Hyperkinetic’s cofactor, we obtained whole-cell voltage-clamp recordings from dFBNs and estimated the NADP+:NADPH ratio of the KVβ population from the bi-exponential inactivation kinetics of the A-type current (IA) (Extended Data Fig. 2): a reduced cofactor increases, whereas an oxidized cofactor decreases, the rate of channel inactivation9,18,26,27. If PUFA-derived carbonyls are endogenous electron acceptors at the active site of KVβ, their ballooning levels in sni1 mutants38,39 should drive the Shaker–Hyperkinetic complex into the NADP+-bound, slowly inactivating state. Increases in the fast and slow inactivation time constants (τfast and τslow, respectively) of the A-type current relative to wild-type flies indicate that this was indeed the case (Fig. 4a,b).
Plasma membrane-anchored miniSOG14 allowed us to switch the cofactor acutely to the oxidized state9 and follow its fate thereafter. The exposed chromophore of this light-oxygen-voltage-sensing (LOV) domain protein14 transfers the energy of blue light efficiently to O2, producing singlet oxygen (1O2) which—presumably indirectly, via a burst of lipid peroxidation—converts the channel population to the NADP+-bound form and induces sleep9. The oxidation of the cofactor was detected as an increase in the fast and slow inactivation time constants after 9 min of blue light exposure, from initial mean values of 5.8 and 35 ms to final averages of 8.2 and 59 ms (Fig. 4c,d). When the membrane potential was clamped at –80 mV, τfast and τslow stayed stably elevated for 20 min after the light-driven 1O2 generation stopped (Fig. 4c,d), consistent with a negligible rate of spontaneous NADP+ exchange8,18,27 that allows Hyperkinetic to retain a memory of an earlier encounter with an oxidizing substrate, even if that molecule is itself short-lived (estimated intracellular half-life10 of lipid-derived carbonyls <4 s).
In a direct test of the idea that PUFA-derived carbonyls are prominent among these substrates, we filled dFBNs through the patch pipette with the synthetic lipid peroxidation products 4-ONE or 4-hydroxynonenal (4-HNE)10,12,13. Owing to their inherent reactivity and membrane-permeability, the equilibration of these carbonyls within the neuronal arbor was governed by complex reaction–diffusion kinetics that made their concentration profiles difficult to predict13 and, in all likelihood, neither spatially uniform nor temporally stationary during the course of a recording. 4-ONE and 4-HNE are estimated (with large uncertainty) to be present in cells in the low to sub-micromolar range under basal conditions but reach millimolar concentrations during periods of oxidative stress10. Although 4-HNE is viewed as a useful marker of lipid peroxidation because monoclonal antibodies can detect its protein adducts42, mammalian KVβ2 in vitro shows detectable catalytic activity only towards 4-ONE19. If the substrate preferences of Drosophila Hyperkinetic were similar, 4-HNE could serve as an ideal control to distinguish effects due to the enzymatic conversion of reactive carbonyls from those potentially caused by indiscriminate protein modification13.
Comparisons of IA inactivation kinetics immediately after break-in and 10 min later revealed a clear slowing of the fast and slow time constants, with effect sizes similar to those after the miniSOG-driven photogeneration of ROS (Fig. 4e,f) or a night of mechanical sleep deprivation (Fig. 4g). Changes were seen only in dFBNs perfused with 50 µM 4-ONE; 200 µM 4-HNE, the addition of 0.15% methyl acetate vehicle to the intracellular solution, or the passage of time alone had no effect (Fig. 4g and Extended Data Fig. 3a). When the cells were held at –80 mV in 4-ONE for extended periods, the inactivation time constants completed much of their climbs to higher plateaux within the first 10 min and remained there for the rest of the recordings (Fig. 4f). Because each neuron in this experimental configuration was connected to a practically infinite reservoir of 4-ONE, however, the persistent slowing of inactivation could reflect continuous turnover of substrate rather than a lasting switch in the oxidation state of the cofactor; it can therefore not speak as unequivocally to the longevity of the redox memory as the enduring increase of τfast and τslow in miniSOG-expressing dFBNs after a finite light exposure can (Fig. 4d).
Membrane resistances, membrane time constants, and the amplitude of the non-A-type potassium current remained approximately constant over the course of 30 min, but the magnitude of IA slowly declined (Extended Data Figs. 3a,b and 4). This trend is likely to reflect closed-state inactivation43 rather than a gradual loss of voltage control over a portion of the channels before an increase in access resistance would have prompted us to terminate the recording: series resistances stayed within stable limits for 30 min, irrespective of the presence of 4-ONE or changes in command potential or the inactivation kinetics of IA (Extended Data Fig. 3c), but the steady-state half-inactivation voltages drifted towards more hyperpolarized potentials43 (Extended Data Fig. 3d). Because the same slow rundown of IA was also observed in the absence of 4-ONE (Extended Data Fig. 3a), after miniSOG stimulation (Extended Data Fig. 4b), and in homozygous Hyperkinetic-null mutants (below), the effect cannot be explained by a direct irreversible 4-ONE hit on the β-subunit.
For the most stringent proof that 4-ONE altered the Shaker current via its reduction at the active site of KVβ (as opposed to an off-target modification on the channel or elsewhere), we expressed transgenes encoding catalytically active or dead Hyperkinetic44 under R23E10-GAL4 control in dFBNs of Hyperkinetic-null mutant (Hk1/Hk1) flies9. Infiltrating the Shaker channel with a β-subunit devoid of oxidoreductase activity18,27,44 (Hk(K289M)) rendered the fast and slow components of A-type inactivation resistant to 4-ONE, whereas the incorporation of functional KVβ preserved the sensitivity of the channel (Fig. 4g and Extended Data Fig. 5).
Impaired carbonyl clearance, the photogeneration of ROS, and synthetic 4-ONE exerted indistinguishable effects on IA in voltage-clamp recordings (Fig. 4a–f), but only carriage of the sni1 mutation or miniSOG-mediated photooxidation also enhanced the spiking response of dFBNs to membrane depolarization (Fig. 5a,b). The delivery of 4-ONE through a patch electrode at the soma did not (Fig. 5c), in all likelihood because the diffusion time of 4-ONE to dFBN axons, which appear rich in Hyperkinetic but are connected to the cell body through a long, thin primary neurite (Fig. 5d), exceeded the brief intracellular half-life of the molecule10,13. The release of endogenous lipid peroxidation products, by contrast, whether instigated by miniSOG or amplified by a lack of sniffer, was sufficiently decentralized to be felt also in remote parts of the neuron. The variable spread of externally supplied and internally generated carbonyls will matter little in measurements of voltage-gated potassium currents, which for space-clamp reasons are dominated by channels near the somatic recording site45 (Fig. 5d–f), but come to the fore in recordings of action potentials if the spike initiation zone lies outside the diffusion distance of 4-ONE.
Measurement of the inactivation time constants of. I A , Voltage steps from a holding potential of –110 mV (top) elicit the full complement of potassium currents in a dFBN (, bottom)., Stepping the same neuron from a holding potential of –10 mV (top) elicits potassium currents lacking the A-type component (, bottom)., Digital subtraction of(, bottom) from(, bottom) yields. Note the expanded timescale., Estimates ofandare obtained from a double-exponential fit (red line) to the A-type current evoked by step depolarization to +30 mV. a b c b a d I I I I I τ τ total non-A non-A total A fast slow
Lipid peroxidation products alter the inactivation kinetics ofvia the active site of Kβ. I A V ,, Theallele increases the fast and slow inactivation time constants ofin dFBNs of hemizygous carriers (turquoise) relative to wild-type males (grey) (;:= 0.0060, two-sided-test;:= 0.0253, two-sided Mann–Whitney test; examples of peak-normalizedevoked by voltage steps to +30 mV in).,, dFBNs expressing miniSOG were held at –80 mV, except during the voltage protocols required to measure. A 9-min exposure to blue light between the 0- and 10-min time points (; blue) increases the fast and slow inactivation time constants ofabove their pre-illumination baselines (;:= 0.0133;:= 0.0041; repeated-measures ANOVA; examples of peak-normalizedevoked in the same dFBN by voltage steps to +30 mV in).,, dFBNs were held at −80 mV, except during the voltage protocols required to measure. The inclusion of 50 µM 4-ONE in the intracellular solution () increases the fast and slow inactivation time constants ofabove the baselines recorded immediately after break-in (;:= 0.0015;:= 0.0010; mixed-effects model; examples of peak-normalizedevoked in the same dFBN by voltage steps to +30 mV in)., dFBNs were held at –80 mV, except during the voltage protocols required to measure. At 10 min after break-in, the inclusion of 50 µM 4-ONE, but not of 200 µM 4-HNE, in the intracellular solution increases the fast and slow inactivation time constants offrom control to sleep-deprived levels, provided dFBNs express catalytically competent Hyperkinetic (:< 0.0001;:< 0.0001; Kruskal–Wallis ANOVA). Columns show population averages; dots represent individual cells;, number of cells; asterisks indicate significant differences (< 0.05) relative to the 0-min time point or control levels in planned pairwise comparisons by Holm–Šídák or Dunn’s test. For statistical details see Supplementary Table. a b b a c d d d c e f f f e g sni I τ P t τ P I I I τ P τ P I I I τ P τ P I I I τ P τ P n P 1 A fast slow A A A fast slow A A A fast slow A A A fast slow 1 Source Data
Inactivation kinetics and amplitudes of potassium currents, series resistances, and steady-state activation and inactivation curves ofduring the course of a 30-minute recording. I A , dFBNs were held at –80 mV, except during the voltage protocols required to measure. In the absence of 4-ONE, the fast and slow inactivation time constants of(:= 0.2499;:= 0.5968; mixed-effects model), the amplitude of(= 0.3527; mixed-effects model), input resistance (= 0.6543; mixed-effects model), and membrane time constant (= 0.5196; mixed-effects model) remain unchanged, but the amplitude ofruns down during the course of the recording (= 0.0004; mixed-effects model). Columns, population averages; dots, individual cells;, number of cells; asterisks, significant differences (< 0.05) relative to baseline in planned pairwise comparisons.,, dFBNs were held at –80 mV in the interval of 0–10 min (except during the voltage protocols required to measure) and repeatedly step-depolarized to +10 mV (3 ms, 10 Hz) between 10 and 30 min. The inclusion of 50 µM 4-ONE in the intracellular solution increases the fast and slow inactivation time constants ofabove the baselines recorded immediately after break-in (, turquoise vs. grey shading); a series of depolarization steps between 10 and 30 min counteracts this increase despite the continuous presence of 4-ONE (, yellow shading;:= 0.0054;:= 0.0014; mixed-effects model). The amplitude ofruns down during the course of the recording (,= 0.0008; mixed-effects model);(,= 0.3120; mixed-effects model), input resistance (,= 0.4961; mixed-effects model), and membrane time constant (,= 0.2282; mixed-effects model) remain unchanged. Series resistance increases gradually (,= 0.0399; mixed-effects model) but remains within <20% of baseline and below 50 MΩ. Columns, population averages; dots, individual cells;, number of cells; asterisks, significant differences (< 0.05) relative to the 0-minute time point in planned pairwise comparisons by Holm-Šídák test., Steady-state activation and inactivation curves ofin dFBNs immediately after break-in (0 min), after 10 min of dialysis with intracellular solution containing 50 µM 4-ONE (turquoise), and after a series of depolarization steps to +10 mV (3 ms, 10 Hz) between 10 and 30 min (yellow). Data are means ± s.e.m; solid lines, Boltzmann fits. The half-activation voltages and activation slope factors are identical at all time points (= 0.5378,test) but the half-inactivation voltages and inactivation slope factors differ (< 0.0001,test). For statistical details see Supplementary Table. a b c b b b b b b c d I I τ P τ P I P P P I P n P I I τ P τ P I P I P P P P n P I P F P F A A fast slow non-A A A A fast slow A non-A A 2 Source Data
Potassium current amplitudes and membrane properties of dFBNs in Fig.. 4 , dFBNs of hemizygousmutant (turquoise) and wild-type males (grey) do not differ with respect to the amplitudes of(= 0.4023, two-sided Mann-Whitney test) and(= 0.6276, two-sided-test), input resistance (= 0.3014, two-sided-test), and membrane time constant (= 0.5267, two-sided Mann-Whitney test)., dFBNs expressing miniSOG were held at –80 mV, except during the voltage protocols required to measure, and exposed to blue light between the 0- and 10-minute time points (blue shading). The amplitude ofruns down during the course of the recording (= 0.0003; Friedman test);(= 0.1116; Friedman test), input resistance (= 0.4361; repeated-measures ANOVA), and membrane time constant (= 0.3265; mixed-effects model) remain unchanged., dFBNs were held at –80 mV, except during the voltage protocols required to measure, and dialyzed with 50 µM 4-ONE (turquoise shading). The amplitude ofruns down during the course of the recording (= 0.0024; mixed-effects model);(= 0.2067; mixed-effects model), input resistance (= 0.2942; mixed-effects model), and membrane time constant (= 0.0783; mixed-effects model) remain unchanged. Columns, population averages; dots, individual cells;, number of cells; asterisks, significant differences (< 0.05) relative to the 0-minute time point in planned pairwise comparisons by Holm-Šídák or Dunn’s test. For statistical details see Supplementary Table. a b c sni I P I P t P t P I I P I P P P I I P I P P P n P 1 A non-A A A non-A A A non-A 2 Source Data
Memory storage and erasure requires catalytically active Kβ. V ,, dFBNs expressing a catalytically defective(K289M) ‘rescue’ transgene in a homozygousmutant background. The cells were held at –80 mV between 0 and 10 min (except during the voltage protocols required to measure) and repeatedly step-depolarized to +10 mV (3 ms, 10 Hz) between 10 and 30 min. The inclusion of 50 µM 4-ONE in the intracellular solution fails to increase the fast and slow inactivation time constants ofabove the baselines recorded immediately after break-in (, turquoise vs. grey shading); a series of depolarization steps between 10 and 30 min is similarly without effect (, yellow shading;:= 0.6841, repeated-measures ANOVA;:= 0.7852, Friedman test; examples of peak-normalizedevoked in the same dFBN by voltage steps to +30 mV in). The amplitude ofruns down during the course of the recording (,= 0.0087; repeated-measures ANOVA);(,= 0.6730; repeated-measures ANOVA), input resistance (,= 0.2615; repeated-measures ANOVA), and membrane time constant (,= 0.8143; repeated-measures ANOVA) remain unchanged.,, dFBNs expressing a catalytically competentrescue transgene in a homozygousmutant background. The cells were held at –80 mV between 0 and 10 min (except during the voltage protocols required to measure) and repeatedly step-depolarized to +10 mV (3 ms, 10 Hz) between 10 and 30 min. The inclusion of 50 µM 4-ONE in the intracellular solution increases the fast and slow inactivation time constants ofabove the baselines recorded immediately after break-in (, turquoise vs. grey shading); a series of depolarization steps between 10 and 30 min counteracts this increase despite the continuous presence of 4-ONE (, yellow shading;:= 0.0020;:< 0.0001; Friedman test; examples of peak-normalizedevoked in the same dFBN by voltage steps to +30 mV in). The amplitude ofruns down during the course of the recording (,< 0.0001; repeated-measures ANOVA);(,= 0.4334; repeated-measures ANOVA), input resistance (,= 0.5984; mixed-effects model), and membrane time constant (,= 0.9761; Friedman test) remain unchanged. Columns, population averages; dots, individual cells;, number of cells; asterisks, significant differences (< 0.05) relative to the 0-minute time point in planned pairwise comparisons by Holm-Šídák or Dunn’s test. For statistical details see Supplementary Table. a b b b a b b b b c d d d c d d d d Hk Hk I I τ P τ P I I P I P P P Hk Hk I I τ P τ P I I P I P P P n P 1 1 A A fast slow A A non-A A A fast slow A A non-A 2 Source Data
Lipid peroxidation products increase the excitability of dFBNs via axonal Kβ. V –, Example voltage responses to current steps (left) and voltage-spike frequency functions (right; mean ± s.e.m.) of dFBNs. In each neuron, the size of the unitary current step was adjusted to produce a 5-mV deflection from a resting potential of −60 ± 5 mV. Themutation steepens the voltage-spike frequency function of hemizygous carriers (turquoise,= 11 cells) relative to wild-type males (grey,= 10 cells) (; genotype effect:= 0.0003; current × genotype interaction:< 0.0001; two-way repeated-measures ANOVA). Blue illumination for 9 min steepens the voltage-spike frequency function of dFBNs expressing miniSOG (blue,= 6 cells) relative to controls kept in darkness (grey,= 7 cells) (; illumination effect:= 0.0235; current × illumination interaction:= 0.0008; two-way repeated-measures ANOVA). The inclusion of 50 µM 4-ONE in the intracellular solution (turquoise,= 12 cells) does not steepen the voltage-spike frequency function relative to controls at the 10-min time point (grey,= 10 cells) (; 4-ONE effect:= 0.9052; current × 4-ONE interaction:= 0.7846; two-way repeated-measures ANOVA).–, Summed intensity projection of a stack of 22 confocal image planes (axial spacing 0.7973 µm) through the fan-shaped body of a fly carrying theallele () and single confocal image planes through the somatic regions of flies carrying theallele () or an unmodifiedlocus (). Specimens were stained with anti-Flag antibody (left); native-driven mCD8::GFP fluorescence (yellow) is overlaid on the anti-Flag channel (turquoise) on the right. Scale bars, 50 μm. For statistical details see Supplementary Table. a c a b c d f d e f sni n n P P n n P P n n P P Hk Hk Hk R23E10-GAL4 1 Flag Flag 1 Source Data
Voltage changes clear the redox memory
The stability of cofactor binding suggests that each conversion of KVβ to the NADP+-bound state leaves an imprint lasting many minutes (Fig. 4c,d). We equate this imprint—or, more accurately, the imprint on the oxidation state of the Hyperkinetic pool of a dFBN as a whole—with a log of accumulated sleep pressure (Fig. 4g). As in a digital recording, the binary states of many elementary memory cells thus quantize a continuous variable, with a resolution determined by the number of single-bit units. Because sleep pressure is discharged via the electrical activity of dFBNs16,17, action potentials should erase this memory by releasing NADP+ and allowing its replacement with NADPH, whose concentration in the cytoplasm exceeds that of NADP+ by at least 40-fold46. Such a mechanism would confirm a long-suspected quirk in the enzymatic cycle of KVβ and offer a rationale for the association of the protein with a voltage-gated ion channel8,27.
We tested the prediction that cofactor exchange is voltage-controlled in both of our experimental configurations, using either the photogeneration of ROS by miniSOG (Fig. 6a,b and Extended Data Fig. 6a) or the inclusion of 50 µM 4-ONE in the intracellular solution (Fig. 6c,d and Extended Data Fig. 6b) to load KVβ with NADP+. Following the expected increases of the fast and slow inactivation time constants at 10 min after break-in, dFBNs were taken through simulated 20-min spike trains at 10 Hz under voltage clamp, with each ‘action potential’ consisting of a 3-ms somatic depolarization to +10 mV. Measurements of τfast and τslow after this sequence of voltage steps (that is, at 30 min after break-in) showed full reversals of the initial increases driven by miniSOG or 4-ONE (Fig. 6a–d). These reversals were themselves reversible: when dFBNs filled with 4-ONE were held at –80 mV for a further 10 min, the large surplus of 4-ONE in the patch pipette once again drove increases in both inactivation time constants (Fig. 6d), whereas a second 9-min light exposure accomplished the same for miniSOG-expressing cells (Fig. 6b).
Occasionally, the reversal protocol pushed the inactivation time constants below their original baselines, suggesting that depolarization dissipated not only the oxidative strain applied by 4-ONE or miniSOG but also the internally sourced pressure already integrated by the channel complex before the experiment began. Consistent with this idea, dFBNs expressing catalytically inactive18,27,44 Hk(K289M), which cannot form a redox memory (Fig. 4g and Extended Data Fig. 5a,b), often exhibit the fastest-inactivating A-type currents at baseline9 and no modulation by 4-ONE or subsequent voltage changes (Extended Data Fig. 5a,b).
The ability to remember exposures to lipid peroxidation products is an intrinsic property of KV1 channels, shared by neurons other than dFBNs (Extended Data Fig. 7a–e) and present in mammals, with broad—although not limitless19—carbonyl selectivity. When HEK-293 cells coexpressing mouse KV1.4 and KVβ2 were incubated in extracellular medium containing 12 mM methylglyoxal, a membrane-permeable dicarbonyl that serves as an established substrate19 for KVβ2, the fast and slow inactivation time constants of the reconstituted A-type current rose and remained durably elevated for 20 min after the removal of methylglyoxal (Extended Data Fig. 7f–h). As in dFBNs, the memory of the carbonyl exposure was retained if the membrane containing the KV1.4–β2 complex was clamped at −80 mV but forgotten during a simulated 20-min spike train at 10 Hz (Extended Data Fig. 7i,j).
Membrane depolarization clears the lipid peroxidation memory. ,, dFBNs expressing miniSOG were held at –80 mV in the intervals of 0–10 and 30–40 min (except during the voltage protocols required to measure) and repeatedly step-depolarized to +10 mV (3 ms, 10 Hz) between 10 and 30 min. Nine-minute exposures to blue light (between the 0- and 10-min and the 30- and 40-min time points) increase the fast and slow inactivation time constants ofabove their pre-illumination baselines (; blue versus grey shading); a series of depolarization steps between 10 and 30 min reverses this increase (; yellow shading;:< 0.0001;:= 0.0008; mixed-effects model; examples of peak-normalizedevoked in the same dFBN by voltage steps to +30 mV in).,, dFBNs were held at −80 mV in the intervals of 0–10 and 30–40 min (except during the voltage protocols required to measure) and repeatedly step-depolarized to +10 mV (3 ms, 10 Hz) between 10 and 30 min. The inclusion of 50 µM 4-ONE in the intracellular solution increases the fast and slow inactivation time constants ofabove the baselines recorded immediately after break-in (; turquoise versus grey shading); a series of depolarization steps between 10 and 30 min counteracts this increase despite the continuous presence of 4-ONE (; yellow shading:= 0.0053;:= 0.0012; mixed-effects model; examples of peak-normalizedevoked in the same dFBN by voltage steps to +30 mV in). Columns show population averages; dots represent individual cells;, number of cells; asterisks indicate significant differences (< 0.05) relative to the 0-min time point in planned pairwise comparisons by Holm–Šídák test. For statistical details see Supplementary Table. a b b b a c d d d ; c I I τ P τ P I I I τ P τ P I n P A A fast slow A A A fast slow A 1 Source Data
Potassium current amplitudes and membrane properties of dFBNs in Fig.. 6 , dFBNs expressing miniSOG were held at –80 mV in the intervals of 0–10 and 30–40 min (except during the voltage protocols required to measure) and repeatedly step-depolarized to +10 mV (3 ms, 10 Hz) between 10 and 30 min. Nine-minute exposures to blue light (between the 0- and 10-minute and the 30- and 40-minute time points) leave(= 0.1673; mixed-effects model), input resistance (= 0.0688; mixed-effects model), and membrane time constant (= 3058; mixed-effects model) unchanged, but the amplitude ofruns down during the course of the recording (< 0.0001, mixed-effects model)., dFBNs were held at –80 mV in the intervals of 0–10 and 30–40 min (except during the voltage protocols required to measure) and repeatedly step-depolarized to +10 mV (3 ms, 10 Hz) between 10 and 30 min. The cells were dialyzed with 50 µM 4-ONE in the intracellular solution (turquoise shading). The amplitude ofruns down during the course of the recording (< 0.0001; mixed-effects model); input resistance decreases after the series of depolarization steps (= 0.0008; mixed-effects model);(= 0.6240; mixed-effects model) and membrane time constant (= 0.1258; mixed-effects model) remain unchanged. Columns, population averages; dots, individual cells;, number of cells; asterisks, significant differences (< 0.05) relative to the 0-minute time point in planned pairwise comparisons by Holm-Šídák test. For statistical details see Supplementary Table. a b I I P P P I P I I P P I P P n P A non-A A A A non-A 2 Source Data
Lipid peroxidation products alter the inactivation kinetics ofin non-dFB neurons and cultured cells expressing mammalian K1.4 and Kβ2. I A V V , Examples of peak-normalized transmembrane currents evoked by 1-s voltage pulses from –80 mV to +30 mV in a dFBN (grey) and a neuron of the pars intercerebralis (PI neuron) (black). A slowly activating outward current in the PI neuron interferes with an accurate measurement of.,, PI neurons were held at –80 mV between 0 and 10 min (except during the voltage protocols required to measure) and repeatedly step-depolarized to +10 mV (3 ms, 10 Hz) between 10 and 30 min. The inclusion of 1 µM 4-ONE in the intracellular solution increases the fast inactivation time constant ofabove the baseline measured immediately after break-in (, turquoise vs. grey shading); a series of depolarization steps between 10 and 30 min counteracts this increase despite the continuous presence of 4-ONE (, yellow shading;= 0.0009; Friedman test; examples of peak-normalizedevoked in the same PI neuron by voltage steps to +30 mV in). The amplitude ofruns down during the course of the recording (,= 0.0075; repeated-measures ANOVA);(,= 0.1035; repeated-measures ANOVA), input resistance (,= 0.4532; mixed-effects model), and membrane time constant (,= 0.4861; Friedman test) remain unchanged.,, PI neurons were held at –80 mV between 0 and 10 min (except during the voltage protocols required to measure) and repeatedly step-depolarized to +10 mV (3 ms, 10 Hz) between 10 and 30 min. In the absence of 4-ONE, the fast inactivation time constant of(,= 0.3416; mixed-effects model; examples of peak-normalizedevoked in the same PI neuron by voltage steps to +30 mV in), the amplitude of(,= 0.3712; mixed-effects model), input resistance (,= 0.1304; mixed-effects model), and membrane time constant (,= 0.2109; mixed-effects model) remain unchanged, but the amplitude ofruns down during the course of the recording (= 0.0496; mixed-effects model)., Examples of peak-normalized transmembrane currents evoked by 1-s voltage pulses from –80 mV to +30 mV in HEK-293 cells expressing mouse K1.4 and Kβ2 (grey), or in untransfected HEK-293 cells (black).–, HEK-293 cells expressing mouse K1.4 and Kβ2. A 1-h exposure to 12 mM methylglyoxal, followed by three washes with methylglyoxal-free solution, increases the fast and slow inactivation time constants of transmembrane currents relative to those of cells maintained in the absence of methylglyoxal (,, turquoise vs. grey shading;:< 0.0001;:< 0.0001; two-sided Mann-Whitney test). In cells held at –80 mV (except during the voltage protocols required to measure), the time constants remain stably elevated for 20 min,:= 0.4375;:= 0.1875; two-sided Wilcoxon test; examples of peak-normalized currents in), but a series of depolarization steps (3 ms, 10 Hz, 20 min) to +10 mV reverses the increase (, yellow shading;:= 0.0294, two-sided paired-test;:= 0.0137, two-sided Wilcoxon test; examples of peak-normalized currents in). The amplitude ofruns down during the course of the recording (= 0.0429, two-sided paired-test). Columns, population averages; dots, individual cells;, number of cells; asterisks, significant differences (< 0.05) relative to the 0-minute time point by Holm-Šídák or Dunn’s test. For statistical details see Supplementary Table. a b c c c b c c c c d e e d e e e f g j h j (h g j i τ I I P I I P I P P P I I P I I P P P I P τ P τ P I τ P τ P τ P t τ P I P t n P slow A A A A non-A A A A non-A A V V V V fast slow A fast slow fast slow A 2 Source Data
Discussion
Our experiments suggest that KVβ subunits are voltage-gated memories used by neurons and other excitable cells to keep score of lipid peroxidation events. Information is stored in the oxidation state of a nicotinamide molecule bound so tightly that it should perhaps be considered a prosthetic group rather than a cofactor, even though two steps in a stop-and-go redox reaction cycle—hydride transfer and nicotinamide exchange—are used to move data to and from memory. Definitive proof that peroxidized lipids or their breakdown products are endogenous KVβ substrates would require their co-purification with the native ion channel—a formidable challenge not only because of the expected molecular heterogeneity of these substrates10–13, but also because their binding to KVβ may be much looser than that of NADP(H); in contrast to the nucleotide binding cleft, which resembles a locked vice, the active site appears wide open in the crystal structure8.
Our experiments also suggest, but do not prove beyond doubt, that sleep loss causes widespread lipid peroxidation in the brain. Definitive proof would require a demonstration that peroxidation products accumulate, rather than that polyunsaturated phospholipids are depleted, as we have shown. Most previous attempts to measure lipid peroxidation after sleep loss have focused on a single end product, malondialdehyde10, and yielded variable results47–50, perhaps because the picture seen through the lens of malondialdehyde is incomplete42 or because the assays used for its detection report tissue oxidizability during analysis rather than pre-existing levels of peroxidized lipids. Our own attempts to quantify endogenous 4-ONE after sleep deprivation were thwarted by the short half-life10,13 of the molecule in tissue: while SMALDI-MSI could easily detect 100 µM 4-ONE in isolation, the signal vanished when the same quantity of standard was spiked onto a brain section full of endogenous carbonyl-reactive nucleophiles10,13 and enzymes38 (Extended Data Fig. 8a). Trace amounts of 4-ONE captured by Girard’s reagent during the derivatization of rested, but not sleep-deprived, brains must reflect the oxidation of the undepleted PUFA pools of these samples in vitro because the sni1 mutation, which would have raised 4-ONE levels in vivo38,39, caused no discernible increase at the time of measurement (Extended Data Fig. 8b).
While our interpretation of sleep pressure as mitochondrially determined9,25 lipid peroxidation history demands that sleep-control neurons are equipped to sense and respond to this history, integral redox sensors are a general feature of KV1 (and also some KV4) channels1–5 in virtually all neurons and many other electrically excitable cells. What could be the purpose of β-subunits in this wider context? Redox control of electrical activity may protect non-renewable cells with high respiratory capacity and extensive membrane systems—such as those of the brain and heart—from oxidative damage if the electron supply to their mitochondria surpasses the demands of ATP synthesis25. Depending on where this relief valve opens, the consequences may range from a few extraneous action potentials28 (in order to re-balance energy consumption with mitochondrial electron flux) to the induction of sleep9. Just as sodium spikes are universal information carriers filled with distinctive meaning by the different neurons that emit them, excitability control by KVβ may be a general mechanism co-opted by dFBNs for the special purpose of regulating sleep.
SMALDI-MSI analysis of 4-ONE. , Mirror plot of mass spectra of 100 µM 4-ONE standard on a blank slide (top) or a brain cryosection (bottom). Spectra were acquired in single-ion-monitoring mode at the calculated/of the [4-ONE+GirT-HO]ion (268.2020); peaks with a mass deviation <5 ppm are labelled in green type., The intensity of the [4-ONE+GirT-HO]signal is decreased in cryosections of sleep-deprived brains (= 0.0179, Kruskal-Wallis ANOVA) but not significantly altered in hemizygousmutant males (= 0.0560). Intensities on the left are normalized to a 100 µM 4-ONE standard on a blank slide; the scale is expanded on the right. Columns, population averages; dots, individual cryosections;, number of cryosections; asterisks, significant differences (< 0.05) relative to rested wild-type flies in planned pairwise comparisons by Dunn’s test. For statistical details see Supplementary Table. a b m z P sni P n P 2 2 + + 1 2 Source Data
Methods
strains and culture Drosophila
Flies were reared on media of cornmeal (62.5 g l−1), inactive yeast powder (25 g l−1), agar (6.75 g l−1), molasses (37.5 ml l−1), propionic acid (4.2 ml l−1), tegosept (1.4 g l−1) and ethanol (7 ml l−1) on a 12 h light:12 h dark cycle at 25 °C. All electrophysiological and lipidomic analyses (with the exception of studies of the effects of the sni1 mutation) were performed on randomly selected female flies aged 2–6 days post eclosion. Experimental flies were heterozygous for all transgenes and homozygous for either a wild-type or mutant (Hk1) Hyperkinetic allele51,52, as stated. The R23E10-GAL4 driver16,53 controlled the expression of the fluorescent label mCD8::GFP in dFBNs, along with an N-myristoylated covalent hexamer (myr-MS6T2) of the singlet oxygen generator miniSOG54 or catalytically defective (Hk(K289M)) or functional versions of Hyperkinetic44, as indicated. The Dh31-GAL4 line55 targeted mCD8::GFP to neurons of the pars intercerebralis.
Because sni is X-linked38, it was most expedient to investigate its function in males. In behavioural experiments or 4-ONE analyses, hemizygous carriers of the sni1 allele coexpressed UAS-sni38, UAS-AOX56 or UAS-HkRNAi (47805GD)57 transgenes, either pan-neuronally58 under the control of nSyb-GAL4 or in dFBNs16,53 under the control of R23E10-GAL4, as noted. For electrophysiological recordings, dFBNs of hemizygous sni1 mutants and wild-type males were marked with R23E10-GAL4-driven mCD8::GFP.
A Hyperkinetic allele encoding an in-frame fusion to an N-terminal Flag epitope (HkFlag) was created through homology-dependent repair of a CRISPR–Cas9-generated double-strand break (WellGenetics). The Flag tag was inserted immediately after the initiating methionine of isoforms Hk-PK, Hk-PE, Hk-PL, and Hk-PM and connected to the remainder of the protein via a flexible linker (4× Gly-Gly-Ser).
Sleep measurements and sleep deprivation
Females or hemizygous sni1 mutant males38 aged 2–5 days were individually inserted into 65-mm glass tubes, loaded into Drosophila Activity Monitors (Trikinetics), and housed under 12 h light:12 h dark conditions. Flies were allowed to adapt to the monitors for a day, and the activity counts during the following two 24-h periods were averaged. Inactivity periods of >5 min were classified as sleep59,60 (Sleep and Circadian Analysis MATLAB program61). Immobile flies (<2 beam breaks per 24 h) were manually excluded.
To deprive flies of sleep, a spring-loaded platform stacked with Trikinetics monitors was slowly tilted by an electric motor, released, and allowed to snap back to its original position62. The mechanical cycles lasted 10 s and were repeated continuously for 12 h, beginning at zeitgeber time 12.
SMALDI mass spectrometry imaging
Dissected brains of rested and sleep-deprived flies were placed on PTFE-printed glass slides (Electron Microscopy Sciences), covered with ~3–5 µl gelatin (5% w/v in water), and snap frozen for shipping. For sectioning, dissected brains were thawed, suspended in 20 µl 5% gelatin, and transferred to a gelatin plateau created by removing the top half of a frozen block of 5% gelatin in a cryostat (Microm HM 525, ThermoFisher). After allowing the samples to refreeze during 10 min in the cryostat chamber, 10-µm sections were cut and thaw-mounted onto glass slides. The sections were imaged in fluorescence (BX41, Olympus) and reflected light mode (VHX 5000, Keyence) and stored at −80 °C until further use.
For SMALDI-MSI63, the brain sections were thawed in a desiccator and spray-coated with 80 µl of a freshly prepared solution of 2,5-dihydroxybenzoic acid (DHB, Merck) using a SMALDIPrep ultrafine pneumatic spraying system (TransMIT GmbH). The DHB solution contained 60 mg of DHB in 999 µl acetone, 999 µl water, and 2 µl pure trifluoroacetic acid (TFA, Merck). In samples destined for 4-ONE analysis, a chemical derivatization step with Girard’s reagent T (GirT, TCI Chemicals) preceded the application of the DHB matrix64. The samples were spray-coated with 35 µl of a freshly prepared solution of 15 mg ml−1 GirT in a 7:3 mixture of methanol and water containing 0.2% (v/v) TFA and incubated in a desiccator at room temperature for 2 h. Standards were prepared by applying 5-µl droplets of a tenfold dilution series of 4-ONE (Cayman Chemical) in methyl acetate, from 100 µM to 10 nM, onto blank glass slides or slides containing brain sections of rested flies. Standards underwent the same GirT-derivatization and matrix application steps as analytical samples.
A home-built SMALDI-MS imaging ion source based on an AP-SMALDI5 AF system (TransMIT GmbH) was coupled to an orbital trapping mass spectrometer (Q Exactive, ThermoFisher). Mass spectra were acquired at a mass resolution of 140,000 in positive-ion mode. A high voltage of 4 kV was applied to the sample holder. The standard pixel size of 5 µm × 5 µm in lipid analyses was increased to 25 µm × 25 µm for 4-ONE measurements to facilitate the detection of low-intensity signals. A single-ion-monitoring (SIM) experiment was performed first for 4-ONE, followed by a full MS scan.
SMALDI-MS images were created in Mirion65 (TransMIT GmbH) using a bin width of ∆(m/z) = 0.004; the images were normalized to total ion charge66. A digital mask created from a ubiquitous lipid signal was applied to the measurement area in order to exclude off-tissue pixels, and all images were stitched together in a single file to ensure uniform evaluation. An automatically generated list of all signals found in at least ten pixels in the stitched file was applied to the separate images to obtain the summed intensity of each signal. Signals were annotated in a bulk search against LIPID MAPS67, allowing for [M + H]+, [M+Na]+, and [M + K]+ adducts and selecting the most likely lipid(s) for each measured mass. All annotations with a mass deviation <5 ppm were exported for further validation in HPLC MS2 fragmentation experiments.
HPLC MSfragmentation 2
Approximately 1,300 rested and 1,300 sleep-deprived brains were collected in batches of 20–50 per session and snap frozen in plastic tubes. The frozen batches were combined in a glass Potter homogenizer, suspended in 50 µl ice-cold ammonium acetate (0.1% in water, Honeywell), manually homogenized, and transferred to a pre-cleaned Eppendorf tube. Lipids were extracted with 600 µl ice-cold methyl tert-butyl ether (MTBE, Sigma-Aldrich) and 150 µl methanol (VWR). After shaking the mixture for 1 h at 4 °C, 200 µl water (VWR) was added, the mixture was shaken for another 10 min, and the organic phase was collected after centrifugation for 5 min at 1,000g. The aqueous phase was re-extracted using an additional 400 µl MTBE, 120 µl methanol, and 100 µl water. The organic phases from both extraction steps were combined, and the solvent was evaporated under a stream of nitrogen for 30 min, leaving ~700 µg and ~800 µg of dry extract of rested and sleep-deprived samples, respectively. The extracts were stored at –80 °C until further use. An extraction blank was created by performing these steps without brain tissue.
Lipid extracts were thawed, dissolved in 650 µl acetonitrile, 300 µl isopropanol, and 50 µl water (all VWR) in an ultrasonic bath, and separated on a C18 column (100 mm × 2.1 mm, 2.6 µm particle size, 100 Å pore size; Phenomenex) in an UltiMate 3000 Rapid Separation System (ThermoFisher) coupled to an orbital trapping mass spectrometer (Q Exactive HF-X, ThermoFisher) using a heated electrospray ionization source (HESI II, ThermoFisher). Data-dependent acquisition and MS2 fragmentation experiments were based on the inclusion list obtained from SMALDI-MSI annotations, with [M + H] +, [M+Na] +, [M + K] + and [M + NH4]+ adducts in positive-ion mode. Since the ionization mechanisms of MALDI and electrospray MS differ, MS2 fragmentation of lipid extracts was additionally performed in negative-ion mode, considering [M–H]− and [M + CHO2]− adducts, to increase the molecular coverage of SMALDI-MSI hits. Lipids were identified using LipidMatch68. All MS2-verified lipid annotations were validated by accurate mass and the detection of all fatty acids plus the head group. Only one annotation (PE 27:2) was based on accurate mass and head group alone.
Electrophysiology
Adult flies aged 2–6 days post eclosion were head-fixed to a custom mount using eicosane (Sigma). Cuticle, trachea, excess adipose tissue, and the perineural sheath were removed to create a small window, and the brain was continuously superfused with extracellular solution equilibrated with 95% O2–5% CO2 and containing (in mM) 103 NaCl, 3 KCl, 5 TES, 8 trehalose, 10 glucose, 7 sucrose, 26 NaHCO3, 1 NaH2PO4, 1.5 CaCl2, 4 MgCl2, pH 7.3, 275 mOsM. GFP-positive cells were visualized on a Zeiss Axioskop 2 FS mot microscope equipped with a 60×/1.0 NA water-immersion objective (LUMPLFLN60XW, Olympus) and a pE-300 white LED light source (CoolLED). Borosilicate glass electrodes (9–11 MΩ for dFBNs, 5–7 MΩ for neurons of the pars intercerebralis) were fabricated on a PC-10 micropipette puller (Narishige) or a DMZ Universal Electrode Puller (Zeitz) and filled with intracellular solution containing (in mM) 10 HEPES, 140 potassium aspartate, 1 KCl, 4 MgATP, 0.5 Na3GTP, 1 EGTA, pH 7.3, 265 mOsM. Where indicated, 50 µM 4-ONE or 200 µM 4-hydroxynonenal (4-HNE, Cayman Chemical) were added directly to the intracellular solution; in recordings from neurons of the pars intercerebralis, during which larger-diameter electrodes were used than in recordings from dFBNs, the 4-ONE concentration was lowered to 1 µM. Stock solutions of 4-ONE and 4-HNE were prepared in methyl acetate and ethanol, respectively; vehicle concentrations were not allowed to surpass 0.15% of the total volume after dilution. Recordings were obtained at room temperature with a MultiClamp 700B amplifier, lowpass-filtered at 10 kHz, and sampled at 20 or 50 kHz using Digidata 1440A or 1550B digitizers controlled through pCLAMP 10 or 11 (Molecular Devices). For photostimulation of miniSOG during whole-cell recordings9, a 455-nm LED (Thorlabs M455L3) with a mounted collimator lens (Thorlabs ACP2520-A) and T-Cube LED Driver (Thorlabs) delivered 3.5–5 mW cm−2 of optical power to the sample. Data were analysed using the NeuroMatic package69 (http://neuromatic.thinkrandom.com↗) in Igor Pro (WaveMetrics).
Whole-cell capacitance compensation and bridge balance were used in voltage- and current-clamp recordings, respectively. Series resistances were monitored but not compensated and allowed to rise at most 20% above baseline—but never beyond 50 MΩ—during a recording. Uncompensated mean series resistances of ~40 MΩ in dFBNs (Extended Data Fig. 3c) caused predicted voltage errors of ~16 mV at typical IA amplitudes of ~400 pA (Extended Data Figs. 3a,b, 4 and 6). Input resistances were calculated from linear fits of the steady-state voltage changes elicited by 1-s steps of hyperpolarizing current (5-pA increments) from a pre-pulse potential of –60 ± 5 mV. Membrane time constants were estimated by fitting a single exponential to the voltage deflection caused by a hyperpolarizing 5-pA current step lasting 200 ms. Voltage-spike frequency functions were determined from voltage responses to a series of depolarizing current steps from a membrane potential of –60 ± 5 mV. To account for variations in input resistance within the dFBN population, the current required to produce a 5-mV hyperpolarizing voltage deflection from a pre-pulse potential of –60 ± 5 mV was used as a cell-specific unitary current step instead of a static 5-pA increment. Spikes were detected by finding minima in the time derivative of the membrane potential trace.
Voltage-clamp experiments on dFBNs and neurons of the pars intercerebralis were performed in the presence of 1 µM tetrodotoxin (Tocris) and 200 µM cadmium to block sodium and calcium currents, respectively. Potassium currents were measured by stepping neurons from holding potentials of –10 or –110 mV for 400 ms to a series of test potentials spanning the range from –100 mV to +30 mV in 10-mV increments9,24. Depolarizations from –110 mV produced the sum total of the cell’s potassium currents (Itotal, Extended Data Fig. 2a), whereas currents evoked by voltage steps from a holding potential of –10 mV lacked the IA (A-type or fast outward) component because voltage-gated potassium channels such as Shaker inactivated (Extended Data Fig. 2b). IA was calculated by subtracting this non-A-type component from Itotal (Extended Data Fig. 2c). To determine the fast and slow inactivation time constants9, double-exponential functions were fit to the decaying phase of A-type currents elicited by 400-ms steps to +30 mV (Extended Data Fig. 2d). In cases where the fits of slow inactivation time constants were poorly constrained, only the fast inactivation time constants were included in the analysis. Spiking was simulated by 3-ms depolarizing pulses to +10 mV, repeated at 10 Hz for 20 min.
Steady-state activation parameters were determined by applying depolarizing 400-ms voltage pulses from holding potentials of –10 or –110 mV; the pulses covered the range from –60 to +60 mV in steps of 10 mV. Linear leak currents were estimated from the slope of the current-voltage relationship at hyperpolarized potentials and subtracted. Steady-state inactivation parameters were obtained with the help of a two-pulse protocol, in which a 300-ms pre-pulse (–120 to +60 mV in 10-mV increments) was followed by a 400-ms test pulse to +30 mV; non-inactivating outward currents, measured from a pre-pulse potential of +10 mV, were subtracted. Peak A-type currents (IA) were normalized to the maximum current amplitude (Imax) of the respective cell and plotted against the test or pre-pulse potentials (V). An estimated liquid junction potential70 of 16.1 mV was subtracted post hoc. Curves were fit to the Boltzmann function IA/Imax=1/1+eV−V0.5k to determine the half-maximal activation and inactivation voltages (V0.5) and slope factors (k).
HEK-293 cells (CRL-1573, American Type Culture Collection) were grown at 37 °C under 5% CO2 in Dulbecco’s modified Eagle’s medium (DMEM) with 10% (v/v) fetal bovine serum and 100 U ml−1 penicillin plus 100 µg ml−1 streptomycin (ThermoFisher). The cells were neither externally authenticated nor routinely tested for mycoplasma contamination. Cells were transfected (Lipofectamine 3000, ThermoFisher) with a 1:1 mixture of CMV promoter-driven expression vectors encoding mouse KV1.4 and a bicistronic mouse KVβ2–IRES2–EGFP cassette. A carbonyl-reactive residue71 (Cys-13) in the N-terminal inactivation peptide of KV1.4 was mutated to serine. The growth medium was replaced during whole-cell recordings with extracellular solution containing (in mM) 10 HEPES, 140 NaCl, 5 KCl, 10 glucose, 2 CaCl2, 1 MgCl2, pH 7.4. Where indicated, HEK-293 cells were pre-incubated in extracellular solution supplemented with 12 mM methylglyoxal19 for 1 h, followed by three washes with methylglyoxal-free solution, before data acquisition. GFP-positive cells were visually targeted with borosilicate glass electrodes (2–3 MΩ) filled with intracellular solution containing (in mM) 10 HEPES, 80 potassium aspartate, 60 KCl, 10 glucose, 2 MgATP, 1 MgCl2, 5 EGTA, pH 7.3. Signals were acquired at room temperature with a MultiClamp 700B amplifier, lowpass-filtered at 10 kHz, and sampled at 20 kHz using a Digidata 1440 A digitizer controlled through pCLAMP 10 (Molecular Devices). Because untransfected HEK-293 cells lack voltage-gated conductances (Extended Data Fig. 7f), no channel blockers were present. To determine the fast and slow inactivation time constants, double-exponential functions were fit to the decaying phase of A-type currents elicited by 1-s steps to +30 mV. Spiking was simulated by 3-ms depolarizing pulses to +10 mV, repeated at 10 Hz for 20 min. Data were analysed using the NeuroMatic package69 (http://neuromatic.thinkrandom.com↗) in Igor Pro (WaveMetrics).
Confocal imaging
Dissected brains were fixed for 20 min in PBS with 4% (w/v) paraformaldehyde, washed 3 times for 20 min with 0.5% (v/v) Triton X-100 in PBS (PBST), and incubated sequentially at 4 °C in blocking solution (10% goat serum in PBST) overnight, with mouse monoclonal anti-Flag M2 antibodies (1:500, Sigma) in blocking solution for 2 days, and with goat anti-Mouse IgG Alexa Fluor 633 antibodies (1:500, ThermoFisher) for one day. The samples were washed 5 times with blocking solution before and after the addition of the secondary antibody, mounted in Vectashield, and imaged on a Leica TCS SP5 confocal microscope with an HCX IRAPO L 25×/0.95 water-immersion objective.
Statistics and reproducibility
With the exception of sleep measurements, no statistical methods were used to predetermine sample sizes. Flies of the indicated genotype, sex and age were selected randomly for analysis and assigned randomly to treatment groups if treatments were applied (for example, sleep deprivation). The investigators were not blinded to group allocation.
SMALDI-MSI signal intensities were analysed in LipidSig72 and MATLAB (The MathWorks). Global differences between normalized glycerophospholipid intensities in cryosections of rested and sleep-deprived brains were evaluated by multiple t-tests with FDR-adjusted P < 0.05, using the method of Benjamini–Hochberg. Statistical associations with sleep history of user-defined lipid features, such as the indicated double-bond equivalent ranges or phospholipid head groups, were computed by Fisher’s exact test in LipidSig72. Principal component and hierarchical cluster analyses were performed in MATLAB. The list of significantly different signals was exported and re-imported into Mirion to generate SMALDI-MS images for display. Behavioural and electrophysiological data were analysed in Prism 10 (GraphPad).
All null hypothesis tests were two-sided. To control type I errors, P values were adjusted to achieve a joint α of 0.05 at each level in a hypothesis hierarchy; multiplicity adjusted P values are reported in cases of multiple comparisons at one level. Group means or their time courses were compared by paired t-test, one- or two-way repeated-measures ANOVA, or mixed-effects models in cases where a variable was not measured in all cells at all time points, as indicated in figure legends. Repeated-measures ANOVA and mixed-effect models used the Geisser–Greenhouse correction in all instances except the comparisons of >2 genotypes in Fig. 3a,b and Extended Data Fig. 1a and were followed by planned pairwise analyses with Holm–Šídák’s multiple comparisons test. Where the assumption of normality was violated (as indicated by D’Agostino–Pearson test), group means were compared by Mann–Whitney test, Wilcoxon test, Kruskal–Wallis ANOVA or Friedman test, followed by Dunn’s multiple comparisons test to evaluate planned pairwise differences. Test statistics, degrees of freedom, and exact P values are given in Supplementary Tables 1 and 2.
Reporting summary
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Online content
Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41586-025-08734-4.
Supplementary information
Source data
Acknowledgements
The authors thank L. Ballenberger and C. Hartmann for help with dissections and D. Anderson, B. Dickson, B. Ganetzky, T. Holmes, H. Jacobs, J. Ng, G. Rubin, S. Schneuwly, J. Simpson, the Bloomington Stock Center and the Vienna Drosophila Resource Center for flies. This work was supported by grants from the European Research Council (832467) and the UK Medical Research Council (MR/V013238/1) to G.M., and from the German Research Foundation (Sp314/23-1, INST 162/500-1 FUGG) and the Hessian Ministry of Science and Education (LOEWE Center DRUID) to B.S.; H.O.R. and L.G.S. received doctoral training fellowships from Wellcome and La Caixa, respectively; M.A.M. was supported by a Kekulé fellowship from the German Fonds der Chemischen Industrie; P.Z.L. was a Marshall Scholar; and A.K. held postdoctoral fellowships from the Swiss National Science Foundation and EMBO.
Extended data figures and tables
Author contributions
H.O.R. performed all electrophysiological and behavioural experiments on flies and M.A.M. performed all lipidomic analyses, under the supervision of S.G. and B.S., on material prepared by L.G.S., H.O.R. and A.K. P.Z.L. characterized HkFlag flies and KV currents in HEK-293 cells. B.S. designed the SMALDI-MSI methodology and instrumentation. G.M. devised and directed the research and wrote the paper.
Peer review
Peer review information
Nature thanks Leslie Griffith, Chun-Fang Wu and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer review reports are available.
Data availability
The SMALDI-MSI and LC-MS2 datasets are accessible in METASPACE (https://metaspace2020.eu/project/drosophila↗ and https://metaspace2020.eu/project/drosophila4ONE↗) and the MassIVE repository (ftp://massive.ucsd.edu/v05/MSV000091767/↗), respectively. All other data generated and analysed during this study are included in the Source Data.
Competing interests
M.A.M. and S.G. are employees of and B.S. is a consultant for TransMIT GmbH. The other authors declare no competing interests.
Footnotes
Extended data
is available for this paper at 10.1038/s41586-025-08734-4.
Supplementary information
The online version contains supplementary material available at 10.1038/s41586-025-08734-4.
References
Associated Data
Supplementary Materials
Data Availability Statement
The SMALDI-MSI and LC-MS2 datasets are accessible in METASPACE (https://metaspace2020.eu/project/drosophila↗ and https://metaspace2020.eu/project/drosophila4ONE↗) and the MassIVE repository (ftp://massive.ucsd.edu/v05/MSV000091767/↗), respectively. All other data generated and analysed during this study are included in the Source Data.